SpecuLoop/PROJECT_CONCEPTS.json at main · ivanferrier55/SpecuLoop · GitHub

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{
  "version": "0.1.0",
  "project": "SpecuLoop",
  "description": "Persistent semantic memory for AI agents — semantic knowledge graph with dynamic RAG, semantic zoom, and interlocked translation",
  "concepts": [
    {
      "name": "wrap",
      "full_name": "Persistent Semantic State (WRAP)",
      "aliases": [
        "persistent semantic memory",
        "semantic knowledge graph",
        "structured agent memory",
        "graph-based reasoning",
        "knowledge representation"
      ],
      "problems": ["context_overload", "shallow_retrieval", "agent_memory"],
      "related_fields": ["knowledge_graphs", "semantic_memory", "agent_memory"],
      "status": "implemented",
      "confidence": "high",
      "documentation": ["WRAP_CORE_SPEC.md", "docs/architecture/wrap.md"]
    },
    {
      "name": "drag",
      "full_name": "Dynamic RAG (DRAG)",
      "aliases": [
        "adaptive retrieval",
        "dynamic knowledge graph RAG",
        "graph-based retrieval",
        "query-dependent subgraph selection"
      ],
      "problems": ["shallow_retrieval", "context_overload", "token_waste"],
      "related_fields": ["rag", "graphrag", "adaptive_retrieval"],
      "status": "implemented",
      "confidence": "medium",
      "documentation": ["DRAG_CORE.md", "docs/architecture/drag.md"]
    },
    {
      "name": "semantic_zoom",
      "full_name": "Semantic Zoom",
      "aliases": [
        "multiscale semantic retrieval",
        "semantic graph compression",
        "hierarchical semantic zoom",
        "graph coarsening",
        "context-efficient reasoning"
      ],
      "problems": ["context_overload", "token_waste", "knowledge_complexity"],
      "related_fields": ["graph_coarsening", "hierarchical_retrieval", "multiscale_graphs"],
      "status": "mechanism_exists",
      "confidence": "medium",
      "documentation": ["docs/concepts/semantic-zoom.md"]
    },
    {
      "name": "semantic_lens",
      "full_name": "Semantic Lens",
      "aliases": [
        "multi-view knowledge graph",
        "context-dependent retrieval",
        "adaptive retrieval",
        "view-dependent graph projection"
      ],
      "problems": ["one_size_fits_all_retrieval", "multiple_perspectives"],
      "related_fields": ["multi_view_graphs", "adaptive_retrieval"],
      "status": "implemented",
      "confidence": "medium",
      "documentation": ["docs/concepts/semantic-lenses.md"]
    },
    {
      "name": "semantic_force",
      "full_name": "Semantic Force",
      "aliases": [
        "edge weight",
        "attraction-repulsion model",
        "signed graph",
        "weighted semantic relation"
      ],
      "problems": ["semantic_relationships", "graph_ambiguity"],
      "related_fields": ["signed_graphs", "force_directed_layout"],
      "status": "implemented",
      "confidence": "medium",
      "documentation": ["docs/concepts/semantic-forces.md"]
    },
    {
      "name": "interlocked_translation",
      "full_name": "Interlocked Translation",
      "aliases": [
        "bidirectional programming",
        "natural language code synchronization",
        "specification-code alignment",
        "bidirectional transformation"
      ],
      "problems": ["code_language_disconnect", "provenance"],
      "related_fields": ["bidirectional_programming", "program_synthesis"],
      "status": "partial",
      "confidence": "medium",
      "documentation": ["INTERLOCKED_TRANSLATION.md", "docs/concepts/interlocked-translation.md"]
    },
    {
      "name": "semantic_feedback",
      "full_name": "Semantic Feedback",
      "aliases": [
        "interactive graph learning",
        "human-in-the-loop knowledge graph",
        "persistent correction",
        "semantic belief update"
      ],
      "problems": ["agent_misunderstanding", "human_correction"],
      "related_fields": ["interactive_learning", "active_learning", "rlhf"],
      "status": "partial",
      "confidence": "medium",
      "documentation": ["docs/concepts/semantic-feedback.md"]
    },
    {
      "name": "persistent_semantic_memory",
      "full_name": "Persistent Semantic Memory",
      "aliases": [
        "lifelong agent memory",
        "AI agent persistent memory",
        "long-term LLM memory",
        "persistent knowledge graph"
      ],
      "problems": ["agent_memory", "context_overload"],
      "related_fields": ["agent_memory", "long_term_memory"],
      "status": "implemented",
      "confidence": "high",
      "documentation": ["docs/concepts/persistent-semantic-memory.md"]
    },
    {
      "name": "dynamic_rag",
      "full_name": "Dynamic RAG",
      "aliases": [
        "adaptive retrieval",
        "incremental graph learning",
        "lifelong retrieval",
        "knowledge graph updating"
      ],
      "problems": ["shallow_retrieval", "context_overload"],
      "related_fields": ["adaptive_rag", "incremental_learning"],
      "status": "partial",
      "confidence": "medium",
      "documentation": ["docs/concepts/dynamic-rag.md"]
    },
    {
      "name": "graph_coarsening",
      "full_name": "Graph Coarsening",
      "aliases": [
        "graph summarization",
        "hierarchical aggregation",
        "multiscale reduction"
      ],
      "problems": ["context_overload", "knowledge_complexity"],
      "related_fields": ["graph_coarsening", "hierarchical_clustering"],
      "status": "mechanism_exists",
      "confidence": "low",
      "documentation": ["docs/concepts/graph-coarsening.md"]
    }
  ]
}